Particle Image Velocimetry Measurements of the Mean Flow Characteristics in a Bubble Plume

Seol, Dong-Guan; Bhaumik, Tirtharaj; Bergmann, Christian; Socolofsky, Scott A.

doi:10.1061/(asce)0733-9399(2007)133:6(665)

Cited by 51 publications

(47 citation statements)

References 26 publications

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“…Note that a similar initial decrease of α i with height has also been observed in experimental studies (e.g. Milgram 1983;Seol et al 2007). This initial variation of α i may be due to various effects.…”

Section: Measurements and Parameterization Of The Entrainment Fluxessupporting

confidence: 85%

Large-eddy simulation and parameterization of buoyant plume dynamics in stratified flow

et al. 2016

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Characteristics of laboratory-scale bubble-driven buoyant plumes in a stably stratified quiescent fluid are studied using large-eddy simulation (LES). As a bubble plume entrains stratified ambient water, its net buoyancy decreases due to the increasing density difference between the entrained and ambient fluids. A large fraction of the entrained fluid eventually detrains and falls along an annular outer plume from a height of maximum rise (peel height) to a neutral buoyancy level (trap height), during which less buoyant scalars (e.g. small droplets) are trapped and dispersed horizontally, forming quasi-horizontal intrusion layers. The inner/outer double-plume structure and the peel/intrusion process are found to be more distinct for cases with small bubble rise velocity, while weak and unstable when the slip velocity is large. LES results are averaged to generate distributions of mean velocity and turbulent fluxes. These distributions provide data for assessing the performance of previously developed closures used in one-dimensional integral plume models. In particular, the various LES cases considered in this study yield consistent behaviour for the entrainment coefficients for various plume cases. Furthermore, a new continuous peeling model is derived based on the insights obtained from LES results. Comparing to previous peeling models, the new model behaves in a more self-consistent manner, and it is expected to provide more reliable performance when applied in integral plume models.

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Section: Measurements and Parameterization Of The Entrainment Fluxessupporting

confidence: 85%

Large-eddy simulation and parameterization of buoyant plume dynamics in stratified flow

et al. 2016

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“…required by the Particle Image Velocimetry Method (PIV), is, in general, avoided since it is possible to modify the two-phase flow topology, especially in the vapour region (Mueller et al 2013). Hence, PTV, according to which bubbles (or vaporous structures) are tracked over successive time frames constitutes a valid and preferred approach (Kitagawa et al 2005;Seol et al 2007;Sathe et al 2010;Pang & Wei 2013) for the determination of the local velocity field and turbulence intensity (Kitagawa et al 2005;Bröder & Sommerfeld 2003).…”

Section: Experimental Set-up and Post-processing Methodologymentioning

confidence: 99%

High-speed visualization of vortical cavitation using synchrotron radiation

et al. 2018

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High-speed X-ray phase-contrast imaging of the cavitating flow developing within an axisymmetric throttle orifice has been conducted using high-flux synchrotron radiation. A white X-ray beam with energy of 6 keV was utilized to visualize the highly turbulent flow at 67 890 frames per second with an exposure time of 347 ns. The working medium employed was commercial diesel fuel at flow conditions characterized by Reynolds and cavitation numbers in the range of 18 000–35 500 and 1.6–7.7, respectively. Appropriate post-processing of the obtained side-view radiographs enabled the detailed illustration of the interface topology of the arising vortical cavity. In addition, the visualization temporal and spatial resolution allowed the correlation of the prevailing flow conditions to the periodicity of cavitation onset and collapse, to the magnitude of the underlying vortical motion, as well as to the local turbulence intensity.

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“…Besides, a noninvasive method, called optical plume velocimetry (OPV), has been developed to measure fluid flow rates through laboratory-simulated hydrothermal vents based on image analysis of effluent video (Crone et al, 2008). On the other hand, PIV, as a nonintrusive measurement method, has been widely used for quantitative flow visualization and velocity measurement (Raffel et al, 2007;Adrian and Westerweel, 2011), including applications to oceanic and environmental flows (e.g., Bertuccioli et al, 1999;Doron et al, 2001;HornerDevine, 2006;Seol et al, 2007;Steinbuck et al, 2010). The PIV technique has been previously applied to measure flow velocities of turbulent buoyant plumes generated either thermally (e.g., Pham et al, 2005;Watanabe et al, 2005;Grafsrønningen et al, 2011) or with salinity contrast (Diez et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Scaling for turbulent viscosity of buoyant plumes in stratified fluids: PIV measurement with implications for submarine hydrothermal plume turbulence

Zhang

Jiang

2017

Deep Sea Research Part I: Oceanographic Research Papers

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Particle Image Velocimetry Measurements of the Mean Flow Characteristics in a Bubble Plume

Cited by 51 publications

References 26 publications

Large-eddy simulation and parameterization of buoyant plume dynamics in stratified flow

Large-eddy simulation and parameterization of buoyant plume dynamics in stratified flow

High-speed visualization of vortical cavitation using synchrotron radiation

Scaling for turbulent viscosity of buoyant plumes in stratified fluids: PIV measurement with implications for submarine hydrothermal plume turbulence

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